DocumentCode :
1789874
Title :
Uplink power control with MMSE receiver in multi-cell MU-massive-MIMO systems
Author :
Kaifeng Guo ; Yan Guo ; Fodor, Gabor ; Ascheid, Gerd
Author_Institution :
Inst. for Commun. Technol. & Embedded Syst., RWTH Aachen Univ., Aachen, Germany
fYear :
2014
fDate :
10-14 June 2014
Firstpage :
5184
Lastpage :
5190
Abstract :
In the current literature considering multi-cell multi-user massive multiple-input multiple-output (MU-Massive-MIMO) systems, equal uplink power allocation among users is typically assumed, which does not exploit the potential of peruser power control. By contrast, in this paper we apply multi-cell uplink power control, assuming the minimum mean-square-error receiver based on the pilot contaminated channel estimation and a very large but finite number of antennas at the base station. We derive the lower bound on the average post-processing uplink signal to interference-plus-noise ratio (SINR) with individual power assignment between pilot and data transmissions for each user, which facilitates a joint iterative uplink pilot and data power control strategy that minimizes the sum transmit power of all users subject to the per-user SINR and per-user power constraints. The convergence of the proposed algorithm to a unique fixed point optimal solution is discussed for both single- and multi-user scenarios. Numerical results indicate the significance of uplink power control which further improves the energy efficiency in MU-Massive-MIMO systems.
Keywords :
MIMO communication; antennas; cellular radio; channel estimation; data communication; least mean squares methods; power control; radio links; radio receivers; radiofrequency interference; telecommunication power management; MMSE receiver; SINR; antennas; base station; data power control strategy; data transmission; energy efficiency; minimum mean-square-error receiver; multicell MU-massive-MIMO systems; multicell multiuser massive multiple-input multiple-output systems; multicell uplink power control; pilot contaminated channel estimation; power constraints; signal to interference-plus-noise ratio; unique fixed point optimal solution; uplink power allocation; Channel estimation; Interference; Power control; Resource management; Signal to noise ratio; Uplink; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/ICC.2014.6884144
Filename :
6884144
Link To Document :
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